Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Micro hole drilling and multi criteria optimization of soda lime glass via ultrasonic assisted rotary electrochemical discharge drilling.

Regardless of the materials' intrinsic characteristics, electrochemical discharge drilling (ECDD) ef...

Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension.

RATIONALE: Pulmonary hypertension (PH) poses a significant health threat. Current biomarkers for PH ...

Predicting survival outcomes in renal cell carcinoma spinal metastases: a multicenter evaluation of existing prognostic systems.

BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases are crucial for g...

Renin Angiotensin Inhibition and Lower Risk of Kidney Failure in Patients with Heart Failure.

BACKGROUND: Renin-angiotensin system (RAS) inhibitors reduce risk of kidney failure in patients with...

Predictive modeling of pulse-electrodeposited Cu-Zn alloy and dealloying for porous electrode fabrication.

Porous metals (PMs) have attracted significant attention in recent years due to their unique structu...

GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions.

Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has ...

Preparing for Vascular Surgery Board Certification: A Comparative Study Using Large Language Models.

Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...

[ARTIFICIAL INTELLIGENCE-ASSISTED LITERATURE REVIEW: A CASE STUDY IN FUMARATE HYDRATASE-DEFICIENT RENAL CELL CARCINOMA].

Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney c...

[Usage of artificial intelligence in the clinical practice of urologists in observations with renal parenchymal neoplasms].

OBJECTIVE: to assess the needs and attitudes of urologists regarding the use of technologies related...

Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension.

BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...

An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement.

OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of u...

Predicting postoperative prognosis in clear cell renal cell carcinoma using a multiphase CT-based deep learning model.

BACKGROUND: Some clinicopathological risk stratification systems (CRSSs) such as the leibovich score...

Predicting Prostate Cancer Diagnosis Using Machine Learning Analysis of Healthcare Utilization Patterns.

This study investigated healthcare utilization patterns prior to prostate cancer diagnoses, aiming t...

Automated Bi-Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension.

Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hyper...

Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging Data.

BACKGROUND AND AIM: Liver transplant (LT) recipients may succumb to graft-related pathologies, contr...

Identification of hypertension subtypes using microRNA profiles and machine learning.

OBJECTIVE: Hypertension is a major cardiovascular risk factor affecting about 1 in 3 adults. Althoug...

AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.

BACKGROUND: We sought to evaluate key performance indicators related to an internally developed and ...

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